Full Citation

Title: Exploiting Non-standard Dimension Scores and Network Structures in the Analysis of Social Interactions Between Occupations

Citation Type: Book, Section

Publication Year: 2018

ISBN:

ISSN:

DOI: 10.1057/978-1-137-02253-0_11

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PMCID:

PMID:

Abstract: The SID analytical approach involving occupations summarises social distance patterns through statistical dimension scores (e.g. Chaps. 4, 5, and 6). Other approaches of network analysis can also be used to summarise similar data on social interactions (e.g. Chaps. 7 and 8). The usual focus is on the most important elements of the interaction structure—for example, the first and most important dimension of the SID solution or the most influential patterns of network connections. Previously, we have also looked at social interaction data for large populations, such as countries. However, there are some interesting extensions in the options for calculating and exploring dimension scores and network structures. In this chapter, we discuss making more use of ‘subsidiary’ dimensions from the SID solution (Sect. 11.2), undertaking SID analysis on smaller population groups of particular interest (Sect. 11.3). and ways of using other network analysis tools to study sub-populations of special interest (Sect. 11.4).

Url: https://doi.org/10.1057/978-1-137-02253-0_11

Url: http://link.springer.com/10.1057/978-1-137-02253-0_11

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Authors: Lambert, Paul; Griffiths, Dave

Editors:

Pages: 313-336

Volume Title: Social Inequalities and Occupational Stratification

Publisher: Palgrave Macmillan UK

Publisher Location: London

Volume:

Edition:

Data Collections: IPUMS USA

Topics: Population Data Science

Countries: United States